3,882 Software Engineering jobs available for remote work from home. Apply for positions such as Professional Services Senior Software Engineer, Staff Software Engineer, Compute Platform (Routing), Engineering Manager, AI Platform, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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You will design, develop, and deliver complex technical integrations between the platform and enterprise client systems. Additionally, you will provide technical leadership, mentor junior engineers, and leverage AI-native practices to improve development efficiency.
You will own the design, development, and automation of routing infrastructure that directs application traffic to Kubernetes backends at scale. Additionally, you will drive measurable improvements to the latency, reliability, and performance of routing systems while shaping the developer experience.
You will lead and develop an engineering team to build a connected intelligence system for AI-powered products. This involves translating product intent into engineering plans and establishing robust evaluation and observability frameworks.
The architect will design and govern the technical blueprint of a global digital commerce ecosystem, transitioning legacy systems to a decoupled, API-first infrastructure. They will orchestrate complex checkout operations, multi-market pricing engines, and enterprise data flows while collaborating with executive stakeholders.
You will manage and grow a software engineering team, focusing on delivering high-quality systems while fostering professional growth. You will collaborate with product and design partners to translate business needs into executable technical plans and long-term strategies.
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Lead software engineering and development for the Energy Research and Forecasting (ERF) model, focusing on GPU-enabled numerical algorithms and atmospheric flow solvers. Oversee deployment, performance validation, and continuous integration of models on DOE high-performance computing systems while mentoring junior staff.
The Head of Software Engineering will lead the technology strategy, platform architecture, and AI-driven product evolution for a global SaaS platform. This role is responsible for scaling the engineering organization, improving developer productivity through AI, and ensuring high-quality delivery across international markets.
The Senior Platform Engineer will own foundational infrastructure and shared engineering capabilities to enable product teams to scale efficiently. This role involves designing cloud infrastructure, establishing reusable patterns, and building core application services to improve developer velocity and system reliability.
You will design, build, and operate scalable batch and streaming data pipelines to power AI-driven features. Additionally, you will build curated datasets and ensure engineering rigor across the data platform to support product and machine learning teams.
The Technical Lead will drive innovation and collaboration across diverse engineering teams while implementing modern software practices and DevSecOps methodologies. They are responsible for technical design, solutioning, and managing high-impact events to ensure system maturity and operational excellence.
The Loan Conversion Specialist supports loan origination software implementations by mapping, validating, and transforming loan data. They troubleshoot technical issues, analyze structured data files, and collaborate with internal teams to ensure successful data migration.
Design and build backend services that integrate LLMs and machine learning models into production-grade clinical AI products. Collaborate with data scientists to transition experimental models into reliable, scalable, and observable production systems.
You will lead technical initiatives to build production-like test environments and platforms that enable sophisticated system-level testing. This includes creating tooling for failure-mode testing, workload generation, and driving system-level test coverage across the engineering organization.
Lead, mentor, and grow a team of software engineers while driving technical excellence and execution. Collaborate with product and design teams to define roadmaps and ensure the delivery of high-quality, scalable software solutions.
The engineer will build and maintain scalable frontend platform functionality while collaborating with senior engineers and client stakeholders. They will participate in technical design, code reviews, and release cycles to ensure platform stability and performance.
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The Senior Site Reliability Engineer will define DevOps standards, manage CI/CD pipelines, and maintain Infrastructure as Code to ensure system reliability and scalability. They will also lead incident response, monitor service level objectives, and drive automation to reduce operational toil.
You will lead a team of engineers while actively contributing to the codebase as a player-coach to drive platform delivery and AI capabilities. The role involves managing team execution through agile sprints and collaborating with executive leadership to align technical output with product roadmaps.
Design, develop, troubleshoot, and test software applications or operating systems based on provided specifications. Build enhancements within existing software architectures and suggest improvements to current systems.
The Senior Data Engineer will own the end-to-end data substrate, including ingestion, modeling, and governance within a Databricks and Azure environment. They will build and maintain serving layers for AI agents while ensuring data quality, performance, and cost-efficiency through automated infrastructure and monitoring.
The Engineering Manager will lead the Telematics Technology domain, overseeing the deployment and operation of systems that convert driving data into risk signals. They are responsible for setting technical strategy, managing engineering teams, and partnering with cross-functional stakeholders to deliver reliable infrastructure.
Provide technical leadership to an engineering team focused on building scalable, secure, and high-performance workload protection software. Architect and implement backend services for telemetry processing, policy enforcement, and high-latency API endpoints within distributed environments.
The Lead AI Engineer is responsible for architecting and building internal AI systems while driving organization-wide adoption through training and community building. This role acts as the primary technical lead, managing AI engineers and partnering with stakeholders to deliver production-ready AI solutions.
You will design and build polished, responsive UI components and data visualization experiences for the Conversation Intelligence platform. Additionally, you will contribute to backend REST APIs and collaborate with designers and product managers to execute frontend architecture.
Lead the SRE team's technical direction and drive complex, cross-functional initiatives across product and platform teams. Participate in 24/7 on-call rotations while mentoring engineers and establishing reliability best practices.
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Provide technical support and guidance for ClickHouse and Langfuse users across various channels while maintaining service level agreements. Collaborate with engineering and product teams to resolve issues, develop documentation, and contribute to the overall improvement of support processes.
You will lead the design and implementation of platforms, tools, and frameworks that define the software development lifecycle. This includes mentoring engineers, driving technical strategy, and collaborating with cross-functional teams to solve complex deployment challenges.
The Account Solution Engineer will collaborate with sales teams and partners to lead the technical solution cycle, from discovery to demonstration, for higher education institutions. They are responsible for articulating the business value of Salesforce solutions, including AI and data products, to drive institutional transformation and product adoption.
You will design, build, and maintain backend services and internal tooling to support item enrichment, merchandising, and listing workflows. You will also collaborate with cross-functional teams to influence technical architecture and ensure the reliability and scalability of critical systems.
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